The number of likes is a reasonable proxy for evaluating the quality of a tweet. The authors in [1]} showed that humans receive more likes per tweet when compared with bots. In [2]}, the authors used likes as one of the metrics for classifying Twitter accounts as human or automated. As mentioned in [3]}, if a specific tweet receives a large number of likes it can be safely concluded that other users are interested in the tweets of the underlying user. Based on this observation, we calculate the liked ratio by using the number of likes for each tweet and dividing it by the total number of tweets for the corresponding user as shown in equation (REF ).
\(l(u_i)=\frac{Liked\ tweets}{N_{T}(u_i)}\) 
